Improved building facade segmentation through digital twin-enabled RandLA-Net with empirical intensity correction model-Reference-Cited by-同舟云学术

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Improved building facade segmentation through digital twin-enabled RandLA-Net with empirical intensity correction model

Published:2023-11 Issue: Volume:78 Page:107520
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Maru Michael Bekele^ORCID,Wang Yusen,Kim Hansun,Yoon Hyungchul^ORCID,Park Seunghee

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference53 articles.

1. Literature review of industry 4.0 and related technologies;Oztemel;J. Intell. Manuf.,2020

2. Integration of the structural project into the BIM paradigm: A literature review;Fernández-Mora;J. Build. Eng.,2022

3. BIM-based method to inform operation and maintenance phases through a simplified procedure;Condotta;J. Build. Eng.,2023

4. Digital twin application in the construction industry: A literature review;Opoku;J. Build. Eng.,2021

5. Building Information Modeling: Why? What? How?;Borrmann,2018

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1. Point cloud semantic segmentation of grotto scenes using the knowledge-guided deep learning method;International Journal of Digital Earth;2024-08-04

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